Third ACM International Conference on Web Search and Data Mining

About

WSDM (pronounced "wisdom") is a young ACM conference intended to be the publication venue for research in the areas of search and data mining. Indeed, the pace of innovation in these areas prevents proper coverage by conferences of broader scope. The high attendance at the first two WSDMs, held at Stanford University and Barcelona in February 2008 and 2009, has confirmed community interest in a more focused venue.

WSDM publishes original, high quality submissions related to search and data mining on the Web, with an emphasis on practical but principled novel models of search and retrieval, algorithm design and analysis, economics implications, and in-depth experimental analysis of accuracy and performance.

WSDM is co-sponsored by ACM SIGIR, SIGKDD, SIGMOD, and SIGWEB.

The Conference homepage can be found here

Videos

Keynotes

01:00:57

Online Advertising: Using Theory and Data to Optimize Marketplaces

Susan Athey

Apr 12, 2010

6195 views

Third ACM International Conference on Web Search and Data Mining - WSDM 2010

About

WSDM is co-sponsored by ACM SIGIR, SIGKDD, SIGMOD, and SIGWEB.

The Conference homepage can be found here

Videos

Keynotes

Online Advertising: Using Theory and Data to Optimize Marketplaces

Susan Athey

Bridging the Structured Un-Structured Gap

Soumen Chakrabarti

Web Search Session

Learning Concept Importance Using a Weighted Dependence Model

Michael Bendersky

Leveraging Temporal Dynamics of Document Content in Relevance Ranking

Jonathan Elsas

Ranking Mechanisms in Twitter-Like Forums

Atish Das Sarma

Query Reformulation Using Anchor Text

Van Dang

Towards Recency Ranking in Web Search

Anlei Dong

Tagging and Recommendation Session

fLDA: Matrix Factorization through Latent Dirichlet Allocation

Bee-Chung Chen

Tagging Human Knowledge

Paul Heymann

I Tag, You Tag: Translating Tags for Advanced User Models

Robert Wetzker

Precomputing Search Features for Fast and Accurate Query Classification

Arnd Christian König

Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation

Steffen Rendle

Information Extraction Session

Data-oriented Content Query System: Searching for Data into Text on the Web

Mianwei Zhou

Coupled Semi-Supervised Learning for Information Extraction

Andrew Carlson

Corroborating Information from Disagreeing Views

Alban Galland

Learning and Optimization

Improving Quality of Training Data for Learning to Rank Using Click-Through Data

Hang Li

A Model to Estimate Intrinsic Document Relevance from the Clickthrough Logs of a...

Georges Dupret

An Optimization Framework for Query Recommendation

Carlos Castillo

IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints

Taesup Moon

Ranking with Query-Dependent Loss for Web Search

Jiang Bian

Social Session

You Are Who You Know: Inferring User Profiles in Online Social Networks

Alan Mislove

Learning Influence Probabilities in Social Networks

Amit Goyal

TwitterRank: Finding Topic-sensitive Influential Twitterers

Jianshu Weng

Folks in Folksonomies: Social Link Prediction from Shared Metadata

Filippo Menczer

GeoFolk: Latent Spatial Semantics in Web 2.0 Social Media

Sergej Sizov

Ads Session

Translating Webpages into Bidphrases for Advertising

Bo Pang

Adaptive Weighing Designs for Keyword Value Computation

Georgios Zervas

Personalized Click Prediction in Sponsored Search

Haibin Cheng

A Novel Click Model and Its Applications to Online Advertising

Weizhu Chen

Improving Ad Relevance in Sponsored Search

Dustin Hillard

Users and Measurement

Inferring Search Behaviors Using Partially Observable Markov (POM) Model

Kuansan Wang

Measuring the Reusability of Test Collections

Ben Carterette

Anatomy of the Long Tail: Ordinary People with Extraordinary Tastes

Bo Pang

Beyond DCG: User Behavior as a Predictor of a Successful Search